Institute of Product Leadership
Table of Contents (powered by https://videoken.com) 0:00:00 Panel Discussion: Career Accelerators towards chief of Data - The What, When and How 0:00:05 Introduction to the Speaker - Shakti Goel 0:02:19 Tell me about your boutique online B2B travel company and how you spend your day as a chief data officer? 0:07:17 Introduction to the Speaker - Kaushik Dey 0:08:28 What is quantum AI and how does your typical day go? 0:14:44 Introduction to the speaker 0:16:16 When you say curl analytics as a best research based product company and how you spend your day as a Data Science as well as CEO? 0:23:20 What is the difference between all the Data Leadership Title? 0:29:22 What kind of skill sets is really important from product and research, especially to Leadership? 0:36:00 What do you think at the non-data skills and how important in customer context? 0:40:28 What about telling that story to your stakeholders? 0:42:25 How can I grow in an organization and the importance of domain understanding? 0:49:07 How can you know an organization deal with a cross-functional organization? 0:50:53 Can a career in operation research help in the analytics field? 0:51:52 What is quantum AI? 0:54:25 Thank you π©For more information on our Programs, visit our website: https://rethink.mba/ipl Stay on top of your industry by interacting with us on our social channels: Follow us on Instagram: https://rethink.mba/instagram Like us on Facebook: https://rethink.mba/facebook Follow us on Twitter: https://rethink.mba/twitter Follow us on LinkedIn: https://rethink.mba/IPLlinkedin ABOUT US: The Institute of Product Leadership (IPL) takes pride in constantly churning out content that is contemporary, written by subject matter experts and which delves into the world of Technology Management, Product Marketing, Data Science, Big Data, Digital Marketing, Design Thinking, User Design, User Experience, Entrepreneurship, Product Management, Machine Learning, and Artificial Intelligence on a regular basis. #ProductManagement #DataScience #DataAnalytics #MonetizingData #BigData #MachineLearning #DataAnalytics #DataScienceManager
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